What is precision, recall, and F1-score in classification models?

Precision: The proportion of true positive predictions among all positive predictions.
Recall (Sensitivity): The proportion of true positive predictions among all actual positives.
F1-score: The harmonic mean of precision and recall, used when there is a need to balance the two metrics.